Prediction method of permeability of textile-reinforced concrete based on fractal dimension theory

Abstract

Water in the external environment of textile-reinforced concrete (TRC) migrates along the direction of internal directional fiber bundles, thereby damaging the TRC and thus increasing the permeability of the internal matrix. This paper studies the effects of concrete water–cement ratios of concrete, grid sizes and fiber bundle Tex content on the permeability of TRC on the macro and micro scales, and the roughness of concrete was evaluated by fractal dimension through a nuclear magnetic resonance test. Results show that the permeability of TRC increases with the decrease in the grid size of the textile, the increase in the Tex content and the increase in the water–cement ratio of concrete. In this paper, a TRC seepage prediction model is established based on the dimensional analysis method and permeability test. The increase of permeability will seriously affect the durability of building materials and will be unsuitable for strengthening and repairing buildings. Therefore, studying the increase of the permeability of TRC under the action of external pressure water is important.